{"id":"W6949731666","doi":"10.5281/zenodo.16622712","title":"PoisotLab/SpeciesDistributionToolkit.jl: v1.7.1","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Process (computing); Identification (biology); Work (physics); Set (abstract data type); Relation (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002639007,0.0002854083,0.0002728097,0.0004021981,0.002367479,0.004426662,0.001237997,0.0001301613,0.4231071],"category_scores_gemma":[0.0002704138,0.000292232,0.0001284836,0.000123102,0.0004316354,0.0002767596,0.0009011436,0.0004210525,0.02694857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795582,"about_ca_system_score_gemma":0.00000851003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001543654,"about_ca_topic_score_gemma":0.00002820375,"domain_scores_codex":[0.9982497,0.0001506585,0.0002855983,0.0004708881,0.000404318,0.0004388497],"domain_scores_gemma":[0.9986313,0.00001973001,0.0001633369,0.0005597698,0.0004895821,0.0001362955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009392228,0.00005277888,5.959831e-8,0.00006735908,0.00005176178,0.000006720039,0.0006304448,1.643862e-7,0.000001758631,0.3529663,0.6317129,0.01450027],"study_design_scores_gemma":[0.0002646,0.00009600898,0.000006919727,0.0001586604,0.00002961865,0.000009855195,0.00103058,0.000002806172,0.00000378527,0.001239693,0.9968477,0.0003098014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001474047,0.0004129214,0.0001144413,0.0003910927,0.000529615,0.0003884638,0.004747796,0.00183918,0.9915618],"genre_scores_gemma":[0.004957463,0.0001252598,0.00001524476,0.0002650937,0.001187752,6.610473e-8,0.00904843,0.004248226,0.9801525],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3961586,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04934605105631231,"score_gpt":0.2297502137386377,"score_spread":0.1804041626823254,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}